download pdf version of PhD book - Universiteit Utrecht
download pdf version of PhD book - Universiteit Utrecht
download pdf version of PhD book - Universiteit Utrecht
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
5. Pore-Network Modeling <strong>of</strong> Two-Phase Flow<br />
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />
where µ is fluid viscosity, k is the network intrinsic permeability, A is the network<br />
cross-sectional area, L is the pore-network length in flow direction, and<br />
∆P is the pressure difference between the inflow and outflow reservoirs.<br />
Repetition <strong>of</strong> this process at consecutively larger imposed capillary pressures<br />
results in a graph <strong>of</strong> capillary pressure versus saturation and relative permeability<br />
versus saturation. Results are presented in Section 5.4.<br />
5.4 Results<br />
5.4.1 Flow field in the MDPN model<br />
The calculation <strong>of</strong> relative permeability is based on computing local velocity<br />
fields within individual pore elements <strong>of</strong> the network. Thus, the distribution <strong>of</strong><br />
velocity field within the network has a crucial role in determining the (relative)<br />
permeability <strong>of</strong> the porous medium. Capturing an accurate velocity field can<br />
help to calculate more accurate permeabilities. In this section, we show the<br />
advantage <strong>of</strong> MDPN model in capturing a more accurate flow field.<br />
Compared to the MDPN, a regular network with a fixed coordination number<br />
<strong>of</strong> six has connections only in three principal directions. In this case, 1/3 <strong>of</strong> the<br />
connections are perfectly parallel to the overall flow direction, while the rest<br />
are completely perpendicular to the overall flow direction. Since 67% <strong>of</strong> the<br />
connections are perpendicular to the flow direction, the overall flow direction<br />
may not be the principal direction <strong>of</strong> the conductivity tensor. Also, the pore<br />
throats which are parallel to the flow direction will have much higher velocities<br />
compared to the pore throats perpendicular to the flow direction. This is<br />
because parallel pore throats form a continues path from the inlet boundary<br />
all the way to the outlet boundary. To illustrate this, we made a network with<br />
connections only in direction numbers 1, 2, and 3 (i.e., a regular pore network<br />
with connections only in three principal directions). After simulating the flow,<br />
we averaged the velocities in each <strong>of</strong> the three directions to get three average<br />
velocities, one for each direction. These are shown by white columns in Figure<br />
(5.9). It is clear that the average velocity in the direction parallel to the flow<br />
(nearly 0.04 m/day) is much larger than the average velocities in the other two<br />
directions (about 0.015 m/day). Figure (5.10a) shows the scatter diagram <strong>of</strong><br />
velocities within the pores <strong>of</strong> the regular network, which also shows that pore<br />
throats parallel to the flow direction have higher velocities. We also generated<br />
a MDPN model which had connections in all 13 directions, and we averaged<br />
velocities in each direction, resulting in 13 average velocities, also shown in<br />
110